Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 오철 | - |
dc.date.accessioned | 2018-03-20T08:00:07Z | - |
dc.date.available | 2018-03-20T08:00:07Z | - |
dc.date.issued | 2016-02 | - |
dc.identifier.citation | TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, v. 85, Page. 53-64 | en_US |
dc.identifier.issn | 0965-8564 | - |
dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S0965856416000021 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/49790 | - |
dc.description.abstract | Pedestrian safety enhancement is a key component in reducing traffic fatalities in the Republic of Korea. The purpose of this study was to review, validate, specify, and prioritize Korea's strategic policies for pedestrian safety enhancement using the classification tree method to model pedestrian injury severities. The findings show that pedestrian age and movement type are the two primary variables contributing to pedestrian fatalities and severe injuries. Traffic operation, road class, crash location, driver violation, and at-fault vehicle type are all secondary variables associated with pedestrian fatalities and severe injuries. Factors that contributed to crashes were compared with strategic polices for senior zones and school zones, road safety facilities, safe walking environments, and legal obligations of the driver in order to understand why certain polices are ineffective versus effective. Consequently, this study provides prescriptive analysis and specific insights pertaining to strategic policies for pedestrian safety enhancements, which can be employed in other countries for the similar purpose. For further research, this study suggests combining several other data-mining techniques with nationwide data collection. (C) 2016 Elsevier Ltd. All rights reserved. | en_US |
dc.description.sponsorship | This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (2013R1A1A3006898). This work was supported by a National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (NRF-2010-0029449). The database center at the Korea Road Traffic Authority provided the pedestrian-vehicle crash dataset. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | en_US |
dc.subject | Pedestrian safety enhancement | en_US |
dc.subject | Injury severities | en_US |
dc.subject | Classification tree | en_US |
dc.subject | Contributing factors | en_US |
dc.subject | Strategic policies | en_US |
dc.title | Improving strategic policies for pedestrian safety enhancement using classification tree modeling | en_US |
dc.type | Article | en_US |
dc.relation.volume | 85 | - |
dc.identifier.doi | 10.1016/j.tra.2016.01.002 | - |
dc.relation.page | 53-64 | - |
dc.relation.journal | TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE | - |
dc.contributor.googleauthor | Jung, Soyoung | - |
dc.contributor.googleauthor | Qin, Xiao | - |
dc.contributor.googleauthor | Oh, Cheol | - |
dc.relation.code | 2016014792 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF ENGINEERING SCIENCES[E] | - |
dc.sector.department | DEPARTMENT OF TRANSPORTATION AND LOGISTICS ENGINEERING | - |
dc.identifier.pid | cheolo | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.